Search or add a thesis

Advanced Search (Beta)
Home > Adsorption of Alcohols over Palladium and Gold Supported on Zirconia, Titania, Ceria, Mgo and Carbon

Adsorption of Alcohols over Palladium and Gold Supported on Zirconia, Titania, Ceria, Mgo and Carbon

Thesis Info

Access Option

External Link

Author

Sajjad, Noreen

Program

PhD

Institute

University of Sargodha

City

Sargodha

Province

Punjab

Country

Pakistan

Thesis Completing Year

2018

Thesis Completion Status

Completed

Subject

Biochemistry

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/13367/1/NOREEN%20SAJJAD%20chemistry%202018%20us%20sargoda%20prr.PDF

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676725437304

Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Similar


Gold catalysts have been found efficient for many oxidation reactions. The catalytic activity of these catalysts strongly depend on the particle size of the Au nanoparticles. However, other factors also have a strong influence on the performance of the catalysts such as the method of preparation, choice of the support, addition of other metal, total metal loading over the support, calcination time and reaction conditions. These factors have been studied to optimize the activity and selectivity of the catalysts. The oxidation of benzyl alcohol over supported gold, palladium and gold palladium bimetallic catalysts were investigated in a high-pressure stirred autoclave and a glass reactor. For the catalyst screening gold palladium catalysts supported on various oxides e.g. Titania, Zirconia, Ceria, MgO and Carbon were prepared and compared to find the most optimized catalyst for solvent free benzyl alcohol oxidation in terms of selectivity and activity resulting in benzaldehyde formation as a major product. The disproportionation of benzyl alcohol has been found as a source of toluene formation in the solvent free oxidation of benzyl alcohol using supported gold palladium catalysts. When gold-palladium catalyst supported over MgO was used for this reaction, the toluene selectivity reduced substantially at the cost of conversion. Different preparation methods were used to prepare titania supported bimetallic catalysts. It was found that supported bimetallic catalysts prepared by physical grind method are more active than that prepared by impregnation method. The physical grind method is more facile and greener way to prepare chlorine free catalyst. To optimize the catalyst activity and selectivity various supported bimetallic catalysts were prepared with different total Au–Pd metal loadings and with different Au–Pd metal ratios. Oxidation of benzyl alcohol was also performed in glass reactor to compare the oxidation results with the Hi-Tech autoclave. Different characterization techniques such as TGA, STEM with EDX, XRD and XPS were used to characterize the morphology and particle size of the catalysts. A paper titled “Physical mixing of metal acetates: Optimisation of catalyst parameters to produce highly active bimetallic catalysts” out of this work has been published in the Journal of Catalysis Science & Technology, Royal Society of Chemistry (2013, 3, 2910-2917).
Loading...
Loading...

Similar Books

Loading...

Similar Chapters

Loading...

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...

الباب الثالث: الشاعرة المعروفة بروين شاکر

الباب الثالث: الشاعرة المعروفة بروين شاکر

بروین شاکر شاعرۃ أردیۃ معروفۃ، ولدت، وتعلمت في کراتشي، وھي أکبر شاعرات الباکستان، ولکن أصل أجدادھا من الھند، وسنتحدث في ھذا الباب عن ھذہِ الشاعرۃ المعروفۃ من حیث ولادتھا، نشأتھا، تعلیمھا، زواجھا، دواوینھا، عملھا الأدبي، أولادھا، أعمالھا غیر الأدبیۃ ثقافتھا، ثم وفاتھا، وأھم مؤلفاتھا الشعریۃ، وأهمية قصائدھا بین الشاعرات الأخریات باعتبارها من أعظم شاعرات الغزل الأردو الحر والحزین ومکانتھا بین الشعراء والشاعرات وفکرتھا عن العشق وأسلوبھا في الشعر۔

التنظيم القانوني للكوتا النسائية وفق دستور جمهورية العراق لعام 2005: دراسة مقارنة

تهدف الدراسة إلى بيان إن كان للكوتا النسائية الدور الحقيقي للحد من ضعف المشاركة السياسية للمرأة في الانتخابات العراقية. وقد أتبعنا في بحثنا منهج الدراسة المقارنة بين نماذج دستورية رئيسة تتمثل في الدستور العراقي لسنة 2005 والدستور المصري لسنة 2014 المعدل والدستور الفرنسي لسنة 1958 مع التركيز على التجربة العراقية في منح المرأة وجود انتخابي، وسبب اختيارنا النموذج المصري والفرنسي لقربها من القانون العراقي كونها تعد مصادر أساسية للقانون العراقي. وأهم ما تم التوصل إليه هو إجراء تعديلات على قوانين الانتخابات البرلمان والمحافظات لإدراج نص يتعلق بالكوتا النسائية بأن تفرد قائمة خاصة بهن أسوة بكوتا الأقليات، يقدمها كل كيان سياسي داخل في الانتخابات، إضافة لقائمته الاعتيادية التي تكون مختلطة نساءً ورجالاً بحسب الترتيب الوارد ذكره في قانون الانتخابات. وتعديل المادة 11 من قانون الأحزاب رقم (36) لسنة 2015بتحديد نسبة (كوتا) لتمثيل النساء في المواقع القيادية للأحزاب لا تقل عن الثلث، لضمان التمكين السياسي للنساء وبناء قدراتهن القيادية والسياسية وتأهيلهن لخوض الحياة السياسية في كافة مراحلها.

Optimization of Classifiers Using Genetic Programming

The success of pattern classification system depends on the improvement of its classification stage. The work of thesis has investigated the potential of Genetic Programming (GP) search space to optimize the performance of various classification models. In this thesis, two GP approaches are proposed. In the first approach, GP is used to optimize the performance of individual classifiers. The performance of linear classifiers and nearest neighbor classifiers is improved during GP evolution to develop a high performance numeric classifier. In second approach, component classifiers are trained on the input data and their predictions are extracted. GP search space is then used to combine the predictions of component classifiers to develop an optimal composite classifier (OCC). This composite classifier extracts useful information from its component classifiers during evolution process. In this way, the decision space of composite classifier is more informative and discriminant. Effectiveness of GP combination technique is investigated for four different types of classification models including linear classifiers, support vector machines (SVMs) classifiers, statistical classifiers and instance based nearest neighbor classifiers. The successfulness of such composite classifiers is demonstrated by performing various experiments, while using Receiver Operating Characteristics (ROC) curve as the performance measure. It is evident from the experimental results that OCC outperforms its component classifiers. It attains high margin of improvement at small feature sets. Further, it is concluded that classification models developed by heterogeneous combination of classifiers have more promising results than their homogenous combination. GP optimization technique automatically caters the selection of suitable component classifiers and model selection. Two main objectives are achieved, while using GP optimization. First, objective achieved is the development of more optimal classification models. The second one is the enhancement in the GP search strategy itself.